An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land

sustainability Article An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land Lina Peng 1,2, Yan Hu 2,3, Jiyun Li 4 and Qingyun Du 1,5,6,* 1 School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] 2 Wuhan Hongfang Real Estate & Land Appraisal. Co, Ltd., Room 508, District C, International Headquarters, Han Street, Wuchang District, Wuhan 430061, China; [email protected] 3 School of Logistics and Engineering Management, Hubei University of Economics, 8 Yangqiao Lake Road, Canglongdao Development Zone, Jiangxia District, Wuhan 430205, China 4 School of Urban and Environmental Sciences, Central China Normal University, 152 Luoyu Road, Wuhan 430079, China; [email protected] 5 Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 6 Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geo-information, Wuhan University, 129 Luoyu Road, Wuhan 430079,China * Correspondence: [email protected]; Tel.: +86-27-6877-8842; Fax: +86-27-6877-8893 Received: 5 June 2017; Accepted: 21 July 2017; Published: 27 July 2017 Abstract: Socioeconomic factors are extrinsic factors that drive spatial variability. They play an important role in land resource systems and sometimes are more important than that of the natural setting. The study aims to build a comprehensive framework for assessing unconsolidated cultivated land (UCL) in the south-central and southwestern portions of Hubei Province, China, which have not experienced project management and land consolidation, to identify the roles of natural and especially socioeconomic factors. Moreover, the study attempts to identify the attributes and indicators that describe the characteristics of the extrinsic factors affecting land spatial variability. Assessment supplement 12 proposed land use indicators on the basis of natural factors using the method of gradation of agricultural land quality (GALQ). The overall level of cultivated land quality (CLQ) in the two study areas is moderate, and this quantity is significantly correlated with topography. Excellent and high-quality UCL are mainly distributed in the south-central plain division of Hubei Province (SCPDHP), whereas lower grades are mainly distributed in the area of the southwestern mountainous division of Hubei Province (SWMDHP). These results suggest that the pattern of small-scale agricultural development depends strongly on the labor force and is the key land use-related factor that limits the improvement of regional CLQ. Such assessments and their findings are essential for the protection of cultivated land and the adjustment of agricultural structure to promote the sustainable use of UCL. Keywords: spatial variability; unconsolidated cultivated land (UCL); comprehensive assessment of cultivated land quality; land use and production conditions (LUPCs); sustainable land management 1. Introduction Declines in land quality caused by inappropriate land use and management practices are concerned to be an environmental and economic point [1–3]. The cultivated land system is a synthesis of natural and socioeconomic factors [4]. The interactions among these factors have an effect on land quality. Natural factors are usually intrinsic, substantial and relatively stable, whereas socioeconomic Sustainability 2017, 9, 1312; doi:10.3390/su9081312 www.mdpi.com/journal/sustainability Sustainability 2017, 9, 1312 2 of 21 factors are extrinsic, invisible and dynamic [1]. Spatial variability in landscapes arises from a combination of intrinsic and extrinsic factors, while temporal variability is mainly up to changes in soil characteristics and rainfall patterns overtime [5]. Intrinsic spatial variability refers to natural variations in soil characteristics. These variations are related to soil formation processes, such as weathering, erosion and deposition [6]. Meanwhile, extrinsic spatial variability refers to variations caused by a lack of uniformity in management practices, e.g., tillage, chemical application and irrigation [6,7]. Exploitation of natural resources, including land, leads to degradation and is also stimulated by socioeconomic and political issues. Examples of such issues include land tenure and lack of capital [8,9]. To date, considerable research has been conducted on the intrinsic spatial variability of soil properties that is closely related to soil quality. Scientific interest in the spatial variability in field soils dates back to the early 1890s [10,11], and the study on soil variability in a systematic way was carried out through the 1960s and 1970s [12,13]. Over the years, various indicators have been identified in the literature. E.g. regarding to field-scale soil water properties, the study of Nielsen et al. [14] firstly demonstrated large variations in hydraulic conductivity values and infiltration rates from location to location. Five factors, identified by Xu et al. [15], are critical in determining soil quality, specifically texture, organic matter, porosity, phosphorus and microstructure. Other researches, such as those that apply landscape function analysis (LFA), base their assessments on surface hydrological properties, i.e., infiltration, erosion, rainfall, runoff, plant growth and nutrient cycling [16]. Land evaluation, which attempts to predict the behavior of land for particular uses, is different from soil quality assessment, because the soil biological parameters are not considered in land evaluation [17]. The realistic assessment of CLQ depends on identification of the variables, which is crucial to the sustainable use of regional land resources [1]. With the rapid development in rural society, socioeconomic factors are playing an important role in the land resource system and are more important than that of the natural setting sometimes [1]. Following the FAO framework for land evaluation and the subsequent literature, socioeconomic factors have been more emphasized in land-quality evaluations [18]. For example, changes in extrinsic spatial variability of selected macronutrients (Ca, Mg, K, and P) in surface (sandy) soils that resulted from tillage and fertilizer application were examined by Nkedi-Kizza et al. [19]. Dumanski [20] identified five sets of short-term indicators (nutrient balance, land use intensity, yield trends and variability, land use diversity and land cover) and three sets of long-term indicators (soil quality, agrobiodiversity and land degradation), as well as forest land quality, water quality, land contamination/pollution and range land quality. Thus, considerable research that characterizes intrinsic spatial variability has been performed, whereas fewer studies were carried on the spatial variability of cultivated land caused by extrinsic factors [6]. To improve the understanding on spatial variability in field soils, more studies on addressing extrinsic and intrinsic variations were proposed by Rao and Wagenet [5]. Currently, such studies are still lacking. The equilibrium of land quality is easily disturbed by human activities, such as land consolidation and the behavior of farmers [21]. The effects of these activities are especially noticeable in China in recent years; the overall CLQ has tended to decline and urban areas and the economy have seen rapid development. Because land consolidation is an extremely efficient method of preventing land parcels from being broken up and ameliorating existing difficulties, the consolidative cultivated land (CCL) can be defined as cultivated land being rearranged and taken precautionary measures to ensure more fruitful working of land areas on the basis of developing agricultural technology [22,23]. Scholars and industry have carried out a large number of relevant studies in the past thirty years on the changes in the quality of consolidated cultivated land (CCL) and the factors that drive such changes. For instance, Cay [24] applied the analytic hierarchy process (AHP) to the reallocation process of land consolidation and evaluated the reallocation criteria and results. Caroline et al. [25] quantified and modeled the effect of land consolidation and field borders about soil redistribution in agricultural landscapes. Coelho et al. [26] presented a model that incorporates methods for the evaluation of performing agricultural systems before and after the transformations proposed in land consolidation projects. Tong Luyi [27] explored a method for the evaluation of cultivated land based on a current grading Sustainability 2017, 9, 1312 3 of 21 dataset for achieving a national balance between the requisition and compensation of cultivated land and identifying the impacts of land consolidation. In China, a thematic strategy for the production of cultivated land called “Investigation and Evaluation of Cultivated Land Quality” is currently under development. First, the evaluation area is divided into two parts, depending on whether or not they were to experience land consolidation. In 2014, the 34 national provinces officially launched the evaluation of unconsolidated cultivated land (UCL) at the County level. In 2015, China carried out a comprehensive promotion of the implementation at the provincial level. The most important difference between UCL and CCL is that land consolidation is the main factor that causes the extrinsic spatial variability leading to changes in the CLQ of CCL, but not UCL. Within UCL, the natural factors are intrinsic

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